# Copyright 2020 JD.com, Inc. Galileo Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

from torch.nn import Linear
from galileo.platform.export import export


@export('galileo.pytorch')
class Dense(Linear):
    r'''
    wrap Dense layer in pytorch

    args:
        input_dim: size of each input sample
        feature_dim: size of each output sample
        bias: whether the layer uses a bias vector
    '''
    def __init__(self, input_dim, feature_dim, bias=True, **kwargs):
        super().__init__(in_features=input_dim,
                         out_features=feature_dim,
                         bias=bias)
